Lead AI Engineer — Production LLMs & Agentic Automation

Nubank; Miami (FL); Hybrid; USD 141,000 - 211,000; Full time

Benefits offered by this job

Equity

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Maternity Leave

Paternity Leave

Learning Platform

Language Learning

Mental Health Support

401K

Savings Plan

Work-from-home Allowance

Relocation Assistance

Job summary

Nubank is seeking an Applied AI Engineer to design and ship LLM-powered agents that automate complex internal processes. You will build evaluation and guardrail layers, integrate with enterprise tools, and ensure reliability for business-critical workflows in a hybrid environment.

You will own the lifecycle from discovery to production hardening, tackling non-deterministic AI with strong product judgment, code quality, and collaboration with ITSec and Privacy to align AI solutions with policy.

Qualifications

• Experience shipping LLM-based systems used by real users.
• Hands-on with prompt/context engineering and tool calling.
• Ability to measure and improve AI output quality and handle failure modes.
• Strong software foundation with Python/TypeScript; API-centric.
• Judgment to balance AI vs deterministic automation.

Responsibilities

• Design and ship LLM-powered agents and workflows end-to-end.
• Build evaluation harnesses and guardrails for production AI.
• Integrate AI workflows with Slack, Google Workspace, Jira, APIs.
• Define governance for safe, compliant AI usage and docs.

Skills

Shipped LLM systems

Prompt engineering

Tool calling

Agent frameworks

Evaluation mindset

Python

TypeScript

API integration

AI product sense

Tools

n8n

Zapier

AWS

Infrastructure-as-code

Claude Code

Cursor

Job description

Nubank is seeking an Applied AI Engineer to design and ship LLM-powered agents that automate complex internal processes. You will build evaluation and guardrail layers, integrate with enterprise tools, and ensure reliability for business-critical workflows in a hybrid environment.

You will own the lifecycle from discovery to production hardening, tackling non-deterministic AI with strong product judgment, code quality, and collaboration with ITSec and Privacy to align AI solutions with policy.